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	<h1>A fisheries model with random effects</h1>
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                     Code: <a href="caest.tpl">caest.tpl</a><br>
                     Data: 		<a href="caest.dat">caest.dat</a><br>
                     Initial values: <a href="caest.pin">caest.pin</a><br>
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                     Expected Results: <a href="caest.par">caest.par</a><br>
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                     In a <a href="../admb_tutorial.html">DOS</a> window<br> 
					 Under <a href="../admb_tutorial.html">linux</a><br>
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<h3><strong>Model description</strong></h3>

The catch-age model from  <A HREF="../citations.html#schn:1995">Schnute and Richards (1995)</A> has been used 
compare the computational speed of AD Model Builder with other statistical software packages 
(<A href="http://otter-rsch.com/tresults.htm">see her</A>). It is conceptually appealing to assume
that the annual recruitements are random effects, i.e. they are drawn from a common normal distribution.
The random effects module then lets you estimate the mean and the variance of the normal distribution.
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The model is memory consuming and requires the following command line options in order
to run smoothly:<br>
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caest -est -l1 30000000 -l2 100000000 -l3 100000000 -nl1 10000000 -nl2 10000000 -nl3 10000000<br>
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The computational time is 31s on a 2006-pc running linux.

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